蚂蚁金服蚂蚁国际-A&I IOT Supply Chain Manager-国际事业群
任职要求
● 学历要求:本科及以上学历,优先考虑211及以上院校毕业生。 ● 经验要求:至少3年相关供应链计划与运营管理工作经验,尤其是在支付相关设备领域。 ● 深刻理解供应链体系,具备端到端工作经验。拥有生产交付、供应链体系设计…
工作职责
负责IOT产品供应链管理的端到端流程,包括供应商沟通、采购和交付以及售后支持,协助构建和优化IOT供应链管理流程,同时与外部供应商和内部产研团队紧密合作,确保产品的顺利交付及全生命周期管理。
主要职责:
1. 负责与供应商的全链路沟通和管理:
● 售前:负责供应商沟通、选定、商务及报价谈判。
● 售中:管理采购流程并确保交付履约。
● 售后:跟踪并支持维保运营。
2. 作为业务方,协调外部供应商和内部产研团队,跟踪生产和交付进度,确保产品及时准确交付,并对产品全生命周期负责。
3. 协助设计和搭建整体 IOT供应链管理流程及规则。
岗位职责 1、开发西安区域需要做广告投放的客户,挖掘销售机会并达成销售业绩; 2、拓展和维护新老客户关系,及时反馈客户需求,与客户保持长期友好的合作关系,并为之提供优质高效的服务; 3、维护好部门内部资源,对公司现有资源进行整合,提高客户满意度; 4、收集和分析市场数据,并定期反馈最新信息。
A、负责日本区域品牌以及商家的BD工作,对所负责的品类进行规划、招商、管理; B、熟悉日本本土消费市场和线上线下品类趋势,能通过对行业的研究理解和消费洞察,完成新商/品牌的开发以及BD能力 C、维护与商家,协会等之间的商务关系,提升双方合作效率,保障业务的有效开展;
The Assortment, Content & Ads Governance Team (ACAG team) is part of the Lazada’s Risk and Security, and it is charged with the mission of developing a comprehensive strategy for Lazada with regards to assortment, so as to foster a healthy and safe e-commerce environment for our users. The role is responsible for developing and implementing proactive strategies and operational processes to protect users from Assortment and Content related risks (Prohibited and Controlled Goods, IP infringement products, hate speech etc). You will have access to analytical tools to develop and implement strategies and solutions using data driven methodologies to mitigate the risks associated with platform assortment and content. Responsibilities: - Develop a deep understanding of the eCommerce customer and seller journey, including registration and onboarding, product listing, order placement, payment, user interactions, returns and refunds, user reports and feedback, etc. - Develop subject matter expertise on eCommerce platform operation and governance, where rules, strategies, and enforcements are effectively established to ensure users are compliant with platform policies. - Lead cross-functional efforts to enhance platform policies and operational mechanisms, fostering a collaborative environment to support ongoing strategy refinement. - Work with large data sets to analyze patterns, trends, and modus operandi of platform operation and governance issues (as well as merchants who perpetrate these issues). - Make data-driven recommendations on prioritization of controls for platform governance and product compliance. - Collaborate with PD, Tech, and Algo counterparts to build machine learning models and rules to detect assortment and user related operation and governance issues on the platform. - Operate the risk engine, including the creation and continuous evaluation of rules to prevent and detect platform operation and governance issues. - Capture and communicate findings with internal and external stakeholders through dashboards, periodic reports, and presentations.